We’re looking for an Applied Machine Learning Engineer to design and deploy intelligent systems to automate infrastructure workflows. You’ll work hands-on with cutting-edge technologies—LLMs, knowledge graphs, and advanced retrieval systems—to build scalable, agentic systems.

You’ll rapidly prototype, experiment, and take projects from concept to production. If you thrive in fast-paced environments and are passionate about applied AI, this is the role for you.

About Antimetal

Antimetal is building the future of infrastructure management. We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products.

What you bring:

• At least 5 years of experience in applied machine learning or a related role, preferably at a high-growth company

• Demonstrated ability to design and deploy large-scale machine learning systems that add new value to the product.

• Strong on ML fundamentals: classification/regression, clustering, dimensionality reduction, evaluation & error analysis, probabilistic ML

• Real world expertise in one area of applied ML: search, statistical modeling, NLP, etc.

• Experience constructing and running end-to-end evaluation pipelines with real world data.

• Proficient in Python and Typescript, with experience using common ML libraries and data engineering tools.

• Strong problem-solving skills, with a focus on creating highly maintainable, scalable code.

• Excellent communication and collaboration skills.

• Comfortable with iterative development, prototyping, and adapting quickly to feedback.

Bonus:

• Hands-on experience with vector/hybrid search.

• Experience with dataset curation or synthetic dataset generation for novel problem domains.

• A passion for staying ahead of applied AI trends and prototyping emerging technologies.

• Contributions to open-source ML tools or libraries.

• Experience with Go or another systems language.

Who you are:

• Identify as a builder

• Are excited to work in-person from our new and spacious office in New York

• Love working in a startup environment (experience in a startup or obsession with going zero-to-one)

• Enjoy working with people who are ambitious, caring, and think in systems

• Thrive in a fast-paced iterative environment where experimentation is essential

What we bring:

• Pay & ownership — Competitive salary with generous equity grants.

• Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits.

• Unlimited PTO — Take the time you need to recharge.

• Dinner on late nights — Working late? Dinner is on us.

• Fitness stipend — Monthly support for your health and wellness.

• Tools of the trade — Any equipment you need to do your best work.

• Commute perks — Citi Bike + train benefits.

Interview process

1. Application Review – Send us your stuff, and a quick note on why you're excited.

2. Intro Chat: Share what you're looking for next and learn more about what we're building.

3. Founder Interview: Talk with one of our founders in more detail about the role

4. Technical Interview: We’ll have you complete a short exercise specific to the role.

5. Onsite: Come onsite and meet the team through a series of 1:1 interviews.

6. Decision – We’ll move fast.